Text-to-SQL LLMs with strong performance
Top 42.3% on sourcepulse
NaturalSQL provides a series of state-of-the-art Text-to-SQL models, specifically designed for generating accurate SQL queries from natural language questions. It targets developers and data analysts who need to interact with databases using plain English, offering improved performance on complex queries involving subqueries and ratios.
How It Works
The project leverages large language models (LLMs) fine-tuned for the Text-to-SQL task. The NaturalSQL-7B model, in particular, demonstrates leading performance for its size, as benchmarked on the SQL-Eval framework. This approach allows for flexible and intuitive database querying without requiring explicit SQL knowledge.
Quick Start & Requirements
Highlighted Details
Maintenance & Community
The project acknowledges Defog for open-sourcing the SQL-Eval framework. Further community or maintenance details are not provided in the README.
Licensing & Compatibility
Limitations & Caveats
The README does not detail specific limitations, unsupported platforms, or known bugs. The CC BY-SA 4.0 model license requires careful consideration for commercial applications.
1 year ago
Inactive